153 stran ; 30 cm
- MeSH
- data management * metody normy organizace a řízení MeSH
- diagnostické zobrazování dějiny metody přístrojové vybavení MeSH
- lékařská informatika * MeSH
- mezinárodní klasifikace nemocí MeSH
- riziko MeSH
- ukládání a vyhledávání informací dějiny metody normy statistika a číselné údaje MeSH
- umělá inteligence MeSH
15 stran ; 30 cm
- MeSH
- archivy MeSH
- knihovní fondy normy MeSH
- knihovny normy MeSH
- správa knihoven MeSH
- ukládání a vyhledávání informací normy MeSH
- Publikační typ
- směrnice MeSH
- Konspekt
- Organizace knihoven a knihovních fondů
- NLK Obory
- knihovnictví, informační věda a muzeologie
With the arrival of the information age and transition towards Electronic Health Records (EHR) and Digital Data, the need for aggregating data across multiple sources lead to the concepts of interoperability. Initially, interoperability was defined only from the perspective of technical interoperability and semantic interoperability. Over time, what was required to make things work together expanded the concepts of the scope of this topic. Unfortunately, the momentum of what currently exists, lack of motivation to change, the cost of change, and lack of a clear Return on Investment (ROI), and unclear solutions has made interoperability seemingly an impossible goal. This paper postulates that the definition of interoperability varies based on use case. The paper discusses what adjectives the term interoperability might legitimately carry – total, partial, implied, . . . The paper also discusses the problems associated with a focus on the word interoperability and attempting to create standards that enable the concept rather than a focus on what we are really trying to do and then looking at what is required to make that happen. Finally, the paper discusses the recent Request for Information (RFI) from the U.S. Office of the National Coordination (ONC) for Health Information Technology to provide suggestions about how interoperability might be measured.
This paper describes the use of standards to enhance the capability of creating semantically interoperable documents and messages. Over the past few years, many information exchange formats have been created. While the health industry continues to develop new formats that attempt to simplify or modernize interoperability across healthcare, it is continually challenged by the difficulty of current applications to exchange documents that can be interpreted by the receiver of the document. Given the variety of standard formats, a framework should be developed that can bridge across multiple exchanged formats/syntax and semantics. It should reference the business content in a consistent way that represents clinical best practices and connects to the clinical workflow that triggers information exchange. This paper describes the use of model-driven development to bring balance to the art of data exchange by supporting semantic interoperability for design and runtime. The proposed model-based approach to mapping addresses the semantic challenges and allows sending systems to first specify the meaning of their data by relating it to a defined common data dictionary of business data elements thus making it independent of other datasets. The resulting architecture proposes two sets of opensource components intended to provide a clear separation of concerns throughout the development process between design and run-time. SAMHSA is using this approach in its Information Exchange Hub (IExHub), the transformation/interface engine supporting both behavioral health and physical health interoperability for health information exchange network (HIEs).
Background: HL7 version 2.x is the most popular and most propagated data exchange standard in the world. It is mature and adopted by several IHE Technical Frameworks. Nevertheless it has some weaknesses especially in the way it is documented. Several conformance constructs (optionality/usage and repetitions) are still under discussion although the meaning is unambiguous and clear. The deadline for HL7 v2.9 proposals is over and the next ballot is in preparation for May 2016. Objectives: Therefore the question arises what will come next? HL7 v2.10? HL7 International is in favor of distributing new releases every year, so that this is a good opportunity to update the representation and documentation of HL7 v2.x while maintaining backward compatibility for running interfaces. Methods: A semantic analysis of the conformance constructs being used by HL7 v2.x allows for developing transition matrices so that the new representation can be automatically generated in large parts. Of course, a new separation into domains require manual support. Results: This paper demonstrates the new representation form rendered out of the HL7 Comprehensive Database. Conclusions: Harmonizing HL7 v2.x with other standards in the way it is represented simplifies implementation and therefore supports interoperability among applications.
BACKGROUND: One of the main challenges in modern science is the amount of data produced by the experimental work; it is difficult to store, organize and share the scientific data and to extract the wealth of knowledge. Experimental method descriptions in scientific publications are often incomplete, which complicates experimental reproducibility. The proposed system was created in order to address these issues. It provides a solution for management of the experimental data and metadata to support the reproducibility. IMPLEMENTATION: The system is implemented as a repository for experiment descriptions and experimental data. It has three main entry points: desktop application for protocol design and data processing, web interface dedicated for protocol and data management, and web-based interface for mobile devices suitable for the field experiments. The functionality of desktop client can be extended using the custom plug-ins for data extraction and data processing. The system provides several methods to support experimental reproducibility: standardized terminology support, data and metadata at a single location, standardized protocol design or protocol evolution. RESULTS AND DISCUSSION: The system was tested in the framework of international infrastructure project AQUAEXCEL with five pilot installations at different institutes. The general testing in Tissue culture certified laboratory, Institute of complex systems and IFREMER verified the usability under different research infrastructures. The specific testing focused on the data processing modules and plug-ins demonstrated the modularity of the system for the specific conditions. The BioWes system represents experimental data as black box and therefore can handle any data type so as to provide broad usability for a variety of experiments and provide the data management infrastructure to improve the reproducibility and data sharing. CONCLUSIONS: The proposed system provides the tools for standard data management operations and extends the support by the standardization possibilities, protocol evolution with visualization features and modularity based on the data processing modules and device communication plug-ins. The software can be used at different organization levels: from a single researcher (to improve data organization) to research consortium through the central protocols management repository. Support from the protocol design until being shared with the standardization features helps to improve the reproducibility of research work. The platform provides support from experimental protocol design to cooperation using simple sharing.
- Klíčová slova
- kompatibilita dat,
- MeSH
- elektronické zdravotní záznamy normy využití MeSH
- laboratorní informační systémy * normy MeSH
- nemocniční informační systémy * normy MeSH
- počítačové komunikační sítě MeSH
- sémantika MeSH
- systémová integrace * MeSH
- terminologie jako téma MeSH
- ukládání a vyhledávání informací normy MeSH
- výměna zdravotnických informací normy MeSH
- záznamy jako téma normy MeSH
The article deals with some basic approaches to the management of secured access to data on external storage devices in real time. Basic steps of effective, safe and easy-to-use handling of personal and/or confidential data are described. Further, a method to protect logins and passwords during their registration into the various applications is presented in the article. Main features of several most commonly used software products are also described considering data protection when used online and stored on various storage devices. The main reasons to apply data protection in the area of medicine and health care services are stated in this article as well.
- MeSH
- ambulantní péče - informační systémy * normy organizace a řízení trendy MeSH
- informační systémy trendy MeSH
- lékaři MeSH
- lidé MeSH
- počítačová gramotnost MeSH
- počítačové zpracování obrazu normy MeSH
- rozhodování MeSH
- software normy MeSH
- ukládání a vyhledávání informací metody normy MeSH
- Check Tag
- lidé MeSH
